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We are looking for a Senior Failure Analysis Engineer with a strong background in renewable power electronics products (DC/AC and AC/DC converters) and components (MOSFETs, IGBTs, capacitors, etc.
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About the Work Champion the specification, development, validation, and deployment of state of the art AI hardware at the core of Nuro's self driving stackArchitect high performance on-board computing, networking and vehicle interface systems in collaboration with sensor & vehicle hardware teams.
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We are seeking a software engineer who has a strong grasp of robotics, perception, SW, localization, and mapping and who wants to develop and ship production level software to the next generation Level 2 autonomous solutions within Ford’s vehicle lineup.
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Strong experience working as or for the Chief Financial Officer in a National Laboratory, Federally Funded Research and Development Center (FFRDC), University or other "not for profit" scientific or research institution and background with funding from the federal government.
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Established in 2017, Wayve is a leader in autonomous vehicle technology, driven by breakthroughs in Embodied AI. Our intelligent, mapless, and hardware-agnostic technologies empower vehicles to navigate complex environments effortlessly.
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As a key member of our team, you will ideally have an immunology background and experience with bioanalytical assays for pharmacokinetic, anti-drug antibody, drug potency, and biomarker testing.
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As a Software Engineer, you will work on prototyping & development of electric vehicle grid integration (VGI), which can contribute smart charging of electric vehicles (EVs) for energy resiliency, CO2 reduction, electricity saving etc.
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Responsibilities Lead planning and execution of closed-course autonomous vehicle system testing. Create V&V plans and develop test matrix based on product requirements to thoroughly test autonomy software on-vehicle.
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We want to hear from you if you have 1-4 years of patent prosecution law firm experience, patent bar membership, and a background in one of the following fields: cell or molecular biology, immunology, biochemistry, bioinformatics, organic chemistry, medicinal chemistry, cancer biology, pharmacology, biophysics, or digital health focused disciplines.
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3+ years of robotics, AV (Autonomous Vehicle), or other real-time, safety-critical experience. Integrating these algorithms into our autonomous vehicle architecture, including migrating these algorithms to a real-time embedded system, and integrity monitoring.
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Strong Machine Learning background with deep understanding of different types of machine learning algorithms (e.g., CNN, RNN, LSTM, Transformer, and Reinforcement Learning). Coding, proof-of-concept (POC) and demo deep learning applications with our test vehicle platform.
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Master’s degree in Computer Science, Computer Engineering, Computer Information Systems, Software Engineering, or related area and 1 year's experience in software engineering or related area., We value candidates with a background in creating inclusive digital experiences, demonstrating knowledge in implementing Web Content Accessibility Guidelines (WCAG) 2.2 AA standards, assistive technologies, and integrating digital accessibility seamlessly.
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Background in debugging Register Transfer Level(RTL) Verilog designs as well as simulation and/or emulation environments. These requirements include but are not limited to the following specialized security screenings: Microsoft Cloud Background Check: This position will be required to pass the Microsoft Cloud Background Check upon hire/transfer and every two years thereafter.
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We value candidates with a background in creating inclusive digital experiences, demonstrating knowledge in implementing Web Content Accessibility Guidelines (WCAG) 2.2 AA standards, assistive technologies, and integrating digital accessibility seamlessly.
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We’re looking for a highly motivated Partner Manager with a strong background developing new client segments in partnership with Value-Added Reseller and modern Distribution partners. Thousands of organizations worldwide, including Barclays, Cisco, eBay, Fairfax, ING, Goldman Sachs, Microsoft, The Mayo Clinic, NASA, The New York Times, Wikipedia, and Verizon, use Elastic to power mission-critical systems.
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